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Tier-1 employer plus mid-level ML/LLM role increases competition and applicant density.
Role requires specialized ML/LLM, MLOps, and graph technologies, so cross-industry transferability is limited.
Explicit 5–7 years requirement and many mandatory ML/LLM, MLOps, and infra skills raise filtering strictness.
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Lead design and development of AI/ML systems powering search and Context Graph capabilities across Autodesk Industry Clouds.
Architect scalable model inference pipelines with low latency, high reliability, and cost efficiency.
Drive AI automation workflows, perform code reviews, mentor junior engineers, and partner with cross-functional teams to implement AI strategy.
Bachelor's or Master's in CS, Machine Learning or related field, or equivalent experience.
5-7 years of experience building and running ML systems or AI applications.
Expertise in Python for ML engineering plus familiarity with backend languages like Java.
Proven experience with LLM-powered applications (e.g., RAG architectures, fine-tuning pipelines) and experience with MLOps platforms, vector databases, cloud infrastructure (AWS), and information retrieval systems.
Experienced in designing and operating complex, scalable AI/ML platforms integrating search and context graph capabilities.
Skilled at communicating complex AI/ML problems clearly and working collaboratively with technical and product teams.
Demonstrates deep knowledge of emerging AI/ML technologies and best practices with focus on operational reliability and AI automation.